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- Centre National de la Recherche ScientifiqueFR128 papers
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Showing 2019 · stat.MLShow all
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stat.ML2019★ 20 cited
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases -- Extended Version
David Gaudrie, Rodolphe Le Riche, Victor Picheny +2
Parametric shape optimization aims at minimizing an objective function f(x) where x are CAD parameters. This task is difficult when f is the output of an expensive-to-evaluate nume…
stat.ML2019★ 1 cited
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
Andrés F. López-Lopera, François Bachoc, Nicolas Durrande +3
Adding inequality constraints (e.g. boundedness, monotonicity, convexity) into Gaussian processes (GPs) can lead to more realistic stochastic emulators. Due to the truncated Gaussi…